Make Baselines Hard to Beat

The curriculum

1. From Tokens to Context — Free preview

   Use a tiny attention calculation to distinguish model representations from understanding, memory, and truth.

2. Datasets That Can Disagree With You — Free preview

   Split related examples together, define loss targets deliberately, and prevent evaluation leakage.

3. Adapt With a Measured Budget — Sign-in access

   Understand low-rank updates and quantization costs before choosing optional hardware-heavy experiments.

4. Make Baselines Hard to Beat — Sign-in access

   Compare candidates using category-level errors, abstentions, and a frozen evaluation protocol.

5. Proposals Before Actions — Free preview

   Keep model-generated suggestions separate from authorized tool execution and durable workflow state.

6. Latency Has Components — Sign-in access

   Measure request stages and design caches that respect versions, identity, and changing access rules.

7. Observe Without Exposing — Sign-in access

   Use telemetry and rollout gates to detect failures while limiting unnecessary collection of user content.

8. Release Signal Bench — Sign-in access

   Integrate the offline classifier, review workflow, measurements, and compatible rollback into a demonstrable capstone.